STAT Courses

260l - Introductory Statistics
Designed for students from different disciplines who desire an introduction to statistical reasoning. Topics include collecting and summarizing data, concepts of randomness and sampling, statistical inference and reasoning, correlation and regression. Prereq.: MATH 1504 or equivalent. 3.s.h. (syllabus)

Upper-Division Courses

3717 - Statistical Methods
Probability and statistics designed for students majoring in the natural sciences. Topics include descriptive statistics, probability, estimation, testing hypotheses, analysis of variance, regression and nonparametric statistics. Use of personal computers with computer software will be required. Credit will not be given for both STAT 3717 and 3743. Prereq.: Math 1549 or 1570 or 1571 or 1585H or equivalent. 4 s.h. (syllabus)

3743 - Probability and Statistics
A calculus-based probability and statistics course. Topics include descriptive statistics, probability models and related concepts and applications, statistical estimation, and hypothesis testing. Prereq.: MATH 1572 or
1585H. Credit will not be given for both STAT 3717 and 3743. 4 s.h. (syllabus)

3781H - Biostatistics
A course in statistics with applications relating to biological sciences. Specific
topics include descriptive statistics, testing hypotheses, analysis of count data, correlation, regression, nonparametric statistics, and analysis of variance.
Prereq.: MATH 1581H or equivalent. 3 s.h. (syllabus)

4820 - Modern Decision Making
Introduction to the mathematics and statistics of decision making with
application to contemporary problems. Topics include: decision trees, influence diagrams, the analytic hierarchy process, risk analysis, and applications. Prereq.: STAT 3717 or 3743 or equivalent. 3 s.h. (syllabus)

4893 - Statistical Internship
A program of work and study in the public or private sector centered upon the development of a significant statistics project, under the direction of University faculty member(s) and designated member(s) of the participating agency. May be repeated twice. Prereq.: STAT 5817. 2 s.h. (syllabus)

4896 - Statistical Project
Individualized study of a topic in statistics culminating in a written report and an oral presentation. May be repeated once. Prereq.: STAT 5817 and permission of chairperson. 2 s.h. (syllabus)

5817 - Applied Statistics
Application of regression, survey sampling, analysis of variance, design and analysis of experiments, and related topics. Prereq.: STAT 3717 or 3743 or equivalent. 3 s.h. (syllabus)

5840 - Statistical Computing
Computational methods used in statistics. Topics include generation and testing of random numbers, computer intensive methods, and simulation studies. Prereq.:
STAT 3717 or 3743. 3 s.h. (syllabus)

5843 - Theory of Probability
The mathematical foundation of probability theory including the study of discrete and continuous distributions. Other topics selected from limit theorems, generating
functions, stochastic processes, and applications. Listed also as MATH 5843. Credit for STAT 5843 will not be given to students with MATH 5843. Prereq.: STAT 3743 and MATH 2673 or consent of department chairperson. 3 s.h. (syllabus)

5844 - Theory of Statistics
The mathematical theory of statistical inferences including likelihood principle, sufficient statistics, theory of statistical estimation, hypothesis testing and related topics. Credit will not be given for MATH 5844 and STAT 5844. Prereq.: MATH 5843. 3 s.h. (syllabus)

5846 - Categorical Data Analysis
Discrete distributions, contingency table analysis, odds ratios, relative risk, logistic regression, hierarchical models. Prereq.: STAT 5817 or 5844, or MATH 5844. 3 s.h. (syllabus)

5847 - Nonparametric Statistics
Nonparametric statistical inference including tests of hypotheses for one sample, two or more related independent samples, dependence, goodness-of-fit, trend, and
related topics. Prereq.: STAT 3717 or 3743 or equivalent. 3 s.h. (syllabus)

5848 - Applied Regression and Time Series Analysis
Statistical methods for studying time series data with uses in forecasting seasonal and non-seasonal trends. Topics include: applied linear regression analysis with model fitting and diagnostics, time series regression and decomposition methods, exponential smoothing, and the Box-Jenkins methodology. Prereq.: STAT 3717 or STAT 3743 or STAT 5844. 3 s.h. (syllabus)

5849 - Multivariate Statistical Analysis
The statistical analysis of multivariate observations. Topics include multivariate probability distribution theory, regression, analysis of variance, and techniques in
data analysis. Prereq.: MATH 3720 and MATH 5844 or STAT 5844 or equivalent. 3 s.h. (syllabus)

5895 - Special Topics in Statistics
The study of a standard statistical topic in depth or the development of a special area of statistics. May be repeated twice. Prereq.: STAT 3717 or 3743. 2-3 s.h. (syllabus)